Error Reduction using Kalman Filters (KF) will remove the various positional errors that arise from onboard inertial sensors housed within the Inertial Navigation System (INS), as well as GPS signals that get distorted via the earth’s atmosphere. The paper will show that the KF reduces both the process and measurement noises to recursively reduce the error introduced into the system to deliver a best estimate as to the positioning of a defined object. The KF in the context of this paper is used to improve the tracking of a satellite from a ground station, although the concept of using a KF can be used in various object tracking schemes. The paper will discuss software based approach to removing GPS signal multipath errors to show that errors can be reduced electronically.
|Advisor:||Yeh, Hen-Geul Henry|
|Commitee:||Ahmed, Aftab, Wang, Fei|
|School:||California State University, Long Beach|
|School Location:||United States -- California|
|Source:||MAI 58/01M(E), Masters Abstracts International|
|Keywords:||Itirative, KF, Kalman filters|
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